Build Your Data Science & Gen AI Career With 100% Placement Assistance!
Start your journey in Data Science & Gen AI with practical training, real projects, and full placement assistance to help you advance or transition into a strong tech career.
- Industry-Recognized Certification
- Complete Data Science + Gen AI Curriculum
- Hands-On Project Experience
- Dedicated Placement Support
- Experienced Trainers
1.2k+ Reviews
1.2k+ Reviews
- Advanced Data Science& Gen AI Training
- 4–6 MonthCareer-Focused Program
- PracticalProject-Based Learning
- Flexible Schedule(Weekday/Weekend)
- 2000+ StudentsPlaced
- 100% PlacementAssistance
- 500+ Hiring & RecruitmentPartners
Our Alumini works at
Our Placement Process
Eligibility Criteria
Placement Training
Personal Branding
Interview Q&A
Resume Building
Mock Interviews
Interview Scheduling
Job Placement
Key Highlights of our Data Science & Gen AI Course
100% Placement Assistance (Unlimited Interview Calls)
Get continuous job assistance, interview opportunities, and guidance until you secure the right role.
Practical, Skill-Based Learning
Learn through real datasets, case studies, and hands-on exercises designed for actual industry use.
Industry-Recognized Certification + Internship Certificate
Get both a course and internship certificate, boosting your resume and proving real project experience.
Flexible Weekday & Weekend Batches
Choose a schedule that fits your work, studies, or personal commitments.
Expert Mentorship & Support
Get instant help, doubt-clearance, and guidance from experienced Data Science professionals.
Career Guidance + Personalized Resume Building
Refine your resume, prepare for interviews, and navigate your career path with 1:1 mentorship.
Data Science & Gen AI Curriculum
Foundation
Start your journey with a strong foundation in Data Science & Gen AI. This module is designed to equip you with the essential knowledge and skills needed to excel in the field. Through comprehensive lessons and hands-on projects, you'll gain a deep understanding of the core concepts, setting you up for success in the more advanced tracks that follow.
Programming Foundations for Data ScienceFoundation
Build essential programming skills needed for Data Science, ML, and GenAI.
What will you achieve?
- Writing clean, logical code
- Understanding program flow
- Strong base for Python & Machine Learning
Topics Covered
Core Track
Python for Data ScienceCore Track
Learn Python from fundamentals to advanced concepts used in DS & AI.
What will you achieve?
- Build scripts for automation
- Work confidently with real datasets
- Use Pandas, NumPy & Visualization libraries
Topics Covered
- Python Basics & Syntax
- Data Structures (Lists, Dicts, Sets, Tuples)
- Functions, Modules, OOP
- File & Exception Handling
- Working with NumPy, Pandas
- Data Cleaning & Transformation
- Exploratory Data Analysis (EDA)
SQL for Data AnalysisCore Track
Master SQL queries required for analytics, product roles, and machine learning workflows.
What will you achieve?
- Writing optimized SQL queries
- Handling real-time datasets
- Performing analysis using SQL + Python
Topics Covered
- RDBMS Basics
- SELECT, WHERE, GROUP BY
- JOINs: Inner, Left, Right, Full
- Subqueries & CTEs
- Window Functions
- Data Cleaning in SQL
- Python Integration
Statistics & ProbabilityCore Track
The backbone of Machine Learning and Data Science.
What will you achieve?
- Applying statistics to ML
- Understanding distributions & data behavior
- Critical analytical thinking
Topics Covered
- Descriptive Statistics
- Probability Theory & Distributions
- Correlation, Covariance
- Hypothesis Testing (Z-test, t-test, Chi-Square)
- ANOVA
- Statistical Decision-Making
Machine Learning Track
Machine Learning (ML)Machine Learning Track
End-to-end ML with real-world implementation.
What will you achieve?
- Building ML models end-to-end
- Tuning and evaluating models
- Deploying models for projects
Topics Covered
- ML Pipeline
- Supervised Learning
- Linear/Logistic Regression
- Decision Trees
- Random Forest
- KNN
- SVM
- Unsupervised Learning
- K-Means, Hierarchical, DBSCAN
- Overfitting, Underfitting
- Model Evaluation Metrics
- Cross-Validation & GridSearchCV
Advanced AI Track
Deep Learning (TensorFlow & Keras)Advanced AI Track
Hands-on learning of neural networks for text, images, and sequence data.
What will you achieve?
- Building neural networks
- Image & text classification
- Designing DL architectures
Topics Covered
- Neural Networks Basics
- Activation Functions
- Forward/Backward Propagation
- CNNs for Image Classification
- RNN/LSTM for Sequence Data
- Model Building in Keras
Natural Language Processing (NLP)Advanced AI Track
Build intelligent applications using text-based models.
What will you achieve?
- Handling text datasets
- Building NLP-based ML models
- Real-world NLP project experience
Topics Covered
- Text Cleaning (Tokenization, Lemmatization)
- Bag of Words, TF-IDF
- NER (Named Entity Recognition)
- Text Classification
- Sentiment Analysis
Generative AI & LLM Track
Generative AI FoundationsGenerative AI & LLM Track
Master the latest in Gen AI with hands-on transformer models.
What will you achieve?
- Building transformer-based models
- Working with Hugging Face
- Creating Gen AI applications
Topics Covered
- What is Generative AI?
- Evolution: GANs → Transformers → LLMs
- Applications in text, image, audio, and video
- Ethical use of AI
Large Language Models (LLMs)Generative AI & LLM Track
In-depth understanding and practical use of LLMs like GPT.
What will you achieve?
- Fine-tuning LLMs
- Building LLM-based applications
- Understanding LLM architecture
Topics Covered
- GPT architecture basics
- How LLMs are trained
- Models: GPT, LLaMA, Claude, Gemini
- Prompt Engineering
- Zero-shot, One-shot, Few-shot
- ChatGPT Hands-on
Advanced GenAI & App BuildingGenerative AI & LLM Track
Build real-world applications using Gen AI across various domains.
What will you achieve?
- Building Gen AI applications
- Working with multimodal models
- Deploying Gen AI solutions
Topics Covered
- Fine-Tuning vs Prompt Tuning
- RAG (Retrieval-Augmented Generation) Basics
- OpenAI API Integration
- ChatGPT for Python, SQL help
- Image generation (DALL·E, Stable Diffusion)
- Introduction to LangChain
- Building a Mini GPT App with Streamlit
Capstone Mini ProjectGenerative AI & LLM Track
Apply all the skills learned in a real-world Gen AI project.
What will you achieve?
- Building a complete Gen AI application
- Integrating multiple Gen AI techniques
- Presenting and documenting the project
Topics Covered
- ChatGPT-powered chatbot
- Resume screener
- Text summarizer
- Image caption generator
- Automated report generator
Bonus Modules
Power BI (Full BI & Data Visualization Module)Bonus Modules
Communicate insights effectively with powerful visualizations.
What will you achieve?
- Creating impactful visualizations
- Using Matplotlib, Seaborn, Plotly
- Storytelling with data
Topics Covered
- Matplotlib Basics
- Seaborn for Statistical Plots
- Interactive Visualizations with Plotly
- Data Storytelling Principles
Git & GitHub (Version Control & Collaboration)Bonus Modules
Master Git for version control and GitHub for collaboration in data science projects.
What will you achieve?
- Using Git for version control
- Collaborating with GitHub
- Managing code repositories
Topics Covered
- Git Basics
- GitHub Workflow
- Branching and Merging
- Collaboration Best Practices
Agile & SDLC (Industry Development Practices)Bonus Modules
Learn industry best practices for software development and deployment.
What will you achieve?
- Understanding Agile methodologies
- Applying SDLC principles
- Working in collaborative development environments
Topics Covered
- Agile Frameworks
- Software Development Life Cycle (SDLC)
- Version Control Best Practices
- Collaborative Development Environments
Aptitude & Soft Skills TrainingBonus Modules
Develop essential aptitude and soft skills for career success in data science.
What will you achieve?
- Improving problem-solving skills
- Enhancing communication abilities
- Building teamwork and leadership skills
Topics Covered
- Logical Reasoning
- Numerical Ability
- Communication Skills
- Teamwork and Leadership
Resume Building & Profile Optimization (Naukri & LinkedIn)Bonus Modules
Optimize your resume and LinkedIn profile for data science roles.
What will you achieve?
- Creating a compelling resume
- Optimizing LinkedIn profiles
- Preparing for job applications
Topics Covered
- Resume Writing Best Practices
- LinkedIn Profile Optimization
- Job Application Strategies
- Professional Presentation Skills
Mock Interview & Interview Preparation SessionsBonus Modules
Prepare for data science interviews with mock sessions and expert feedback.
What will you achieve?
- Practicing interview skills
- Receiving expert feedback
- Building confidence for real interviews
Topics Covered
- Common Interview Questions
- Mock Interview Sessions
- Feedback and Improvement Strategies
1-on-1 Career & HR GuidanceBonus Modules
Get personalized career and HR guidance from industry experts.
What will you achieve?
- Understanding career paths
- Receiving HR insights
- Getting tailored advice
Topics Covered
- Career Planning
- HR Best Practices
- Personalized Career Advice
Job Openings Assistance & Placement SupportBonus Modules
Get assistance with job openings and placement support from our career team.
What will you achieve?
- Accessing job opportunities
- Getting placement support
- Connecting with industry partners
Topics Covered
- Job Search Strategies
- Placement Assistance
- Industry Partner Connections
Each student’s success fuels our passion to teach even better
Let's talk about everything!
Whether you have questions about our courses, need guidance on career paths, or just want to say hi, we're here to listen. Fill out the form, and let's start a conversation about your future!
